How I was right even when I was wrong
author:
Chris Welty,
IBM Watson Research Center
Description
For the past several years I have warned people not to ask me to predict the future, because my predictions are usually wrong. Undaunted by failure, in this talk I will try to predict the future of the semantic web based on a very personal view of its history, the history of the internet, web, semantic web, and AI, and the mistakes I've made predicting where and how they would be valuable.
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| Slides | |
| 0:00 | How I was right, even when I was wrong |
| 0:44 | Outline |
| 1:25 | The birth of a know-it-all |
| 2:22 | How I did it |
| 3:35 | The birth of a know-it-all |
| 4:13 | Insult no group unless it includes me |
| 4:36 | Outline |
| 4:38 | First exposure to email |
| 7:34 | Next generation email |
| 9:14 | Domain Naming Service |
| 12:20 | HTTP/HTML |
| 14:57 | Web 2.0 (i.e. Social Web) |
| 18:04 | Blind Men and Elephants |
| 20:00 | Semantic Web |
| 24:05 | The Semantic Web Vision |
| 25:32 | Outline |
| 25:46 | Lessons learned |
| 27:50 | The Unimpressed Scientist |
| 29:35 | Better not Perfect |
| 30:55 | Scalability |
| 32:31 | People want to share their knowledge |
| 33:09 | Outline |
| 33:26 | Promising trends |
| 38:30 | Important Problems |
| 41:15 | Wherefore Reasoning? |
| 45:04 | The very long tail |
| 47:06 | Question Answering (1) |
| 48:00 | Question Answering (2) |
| 49:50 | Question Answering (1) |
| 50:09 | Humans vs. Machines |
| 53:18 | Outline |
| 53:29 | Question Answering |
| 56:16 | The Semantic Web Vision |
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